418 results about "Electric power demand" patented technology

A system and method for efficiency and revitalization of power plant assets allows for existing fossil fuel burning power plants to operate in tandem with renewable power sources and to operate at a consistent base load. The system and method reduce fossil fuel burning power plant power / load cycling and improve efficiency, increase power plant useful lifetime, and reduce emissions. The system and method allow for substantially consistent power output regardless of power demand and power supply generation from existing fossil fuel burning power plants and renewable energy sources supplying a common grid.

The invention discloses an electric power and electric quantity balancing method and system, and relates to the technical field of electric power management. S2, demand prediction; s3, evaluating the power supply capability; s4, carrying out resource optimization configuration; s5, integrating renewable energy sources; s6, demand side management; s7, performing real-time monitoring and adjustment; and S8, performing performance evaluation and feedback, and constructing an electric power and electric quantity balance system based on the method. According to the electric power and electric quantity balancing method and system, the accuracy and efficiency of electric power and electric quantity balancing can be remarkably improved, various electric power demand changes can be effectively handled, and stable operation of a power grid is ensured. Meanwhile, by dynamically adjusting access and demand side management of renewable energy sources, the purposes of maximum utilization of energy sources, energy conservation and emission reduction are achieved. Finally, through regular performance evaluation and feedback, the system performance is continuously optimized, a closed-loop optimization process is formed, and powerful support is provided for sustainable development of a power system.

The invention relates to the technical field of energy management and environmental protection, in particular to an energy efficiency optimization system based on electric power and carbon emission market coupling, which comprises an electric power demand prediction module, a carbon emission calculation module, a market coupling module, a strategy generation module, an execution feedback module and an interaction interface module. Wherein the power demand prediction module is used for predicting future power demand; the carbon emission calculation module is used for calculating the corresponding carbon emission; the market coupling module is used for generating a supply and demand report of an electric power and carbon emission market; the strategy generation module is used for formulating a specific power dispatching and carbon emission reduction strategy; the execution feedback module is used for adjusting future strategy generation according to market feedback; and the interactive interface module provides an operation interface for a user. According to the invention, by integrating electric power and carbon emission markets, optimizing resource allocation and realizing dynamic strategy adjustment, the energy use efficiency and the environmental protection effect are effectively improved, and the adaptability of the system and the user interactivity are enhanced at the same time.

The uncertainty of availability and risk associated with the cost of power procurement hinders the consumer from using new sources of supply / storage devices or taking part in the competitive power markets or procuring power from green energy resources. Present disclosure provides a method and a system for optimal scheduling of power sources for meeting electricity demand of enterprise. In particular, the system performs portfolio optimization formulation for cost, risk and carbon emission minimization for the enterprise. The portfolio optimization formulation simulates market scenario and guides in providing effective power purchase strategy for enterprise along with real-time adjustments. In particular, the level of risk to be considered along with cost of power procurement and carbon footprint determine portfolio allocation for each time block in portfolio optimization formulation. Thus, enterprise may choose most appropriate terms of contract, best installation size of renewable resources or batteries, and supply sources.

The invention provides an island energy system optimization scheduling method considering ammonia-to-electricity waste heat power generation, and the method employs an independent island integrated energy system containing an ammonia-to-electricity system to execute a weekly-day-intra-day multi-stage operation optimization scheduling strategy, and the independent island integrated energy system is a system considering the ammonia supply demand. Wind energy and solar energy are used as energy input, energy is supplied to seawater desalination equipment and an electricity-to-ammonia system, and the electric load requirements of island residents are met; meanwhile, seawater desalination equipment is used as a power demand response resource to increase the water-energy coupling relationship of the system model, and cross-time storage and utilization of fresh water resources are realized through a reservoir, so that an ammonia-hydrogen power ship which is used for meeting daily travel demands of island residents is used as an ammonia load; an electricity-to-ammonia system and an ammonia storage tank are adopted to realize effective consumption of island wind and light resources; according to the invention, the long-period energy supply reliability of the island can be improved, and the problem of uncertainty of wind energy and light energy resources of the island can be effectively solved.

The invention discloses a ship distributed hybrid energy system and an evaluation method thereof, the system comprises a solar photovoltaic module, a wind driven generator module, a diesel generator module, an energy storage system, a converter module, a combined heat and power generation module and a thermal load controller, and the method comprises the steps of obtaining ship data information; performing analysis according to the ship data information; according to the power load analysis, heat energy converted by the residual electric quantity in the energy storage system through the combined heat and power generation module is obtained; obtaining an optimal combination according to an analysis result of the thermal load analysis; performing power demand-based dynamic pricing analysis, environmental influence evaluation analysis and social factor evaluation analysis on the optimal combination; according to the evaluation analysis result, determining that the corresponding optimal combination is a solution for comprehensive and sustainable use of the ship energy; the problems that in the prior art, many defects exist in the aspects of an energy structure, intelligent management and system integration, and efficient utilization, intelligent management and sustainable development of an energy system cannot be achieved are solved.

The invention relates to the technical field of electrolysis, in particular to a method for assisting electrolysis of a solid oxide electrolytic tank by ammonia gas, a symmetric electrode and a preparation method of the symmetric electrode. According to the method for assisting electrolysis of the solid oxide electrolytic tank with the ammonia gas, NH3 is introduced into the anode side of the solid oxide electrolytic tank for oxidation, CO2 and / or H2O is introduced into the cathode side of the solid oxide electrolytic tank, and the CO2 and / or H2O are / is electrolyzed. The symmetric electrode disclosed by the invention is applied to the solid oxide electrolytic tank, and a symmetric electrode catalyst is square fluorite type cerium oxide and high-entropy alloy which is separated out from doped cerium oxide in situ. The conventional dynamic slow oxygen evolution reaction on the SOEC anode is replaced by a favorable NH3 oxidation reaction, so that the oxygen partial pressure on the anode side can be reduced, the CO2 reduction reaction rate of the cathode is improved, and meanwhile, the power demand of CO2 electroreduction is greatly reduced.

The invention relates to the technical field of power supply systems, in particular to a distributed micro-grid power station system based on methanol fuel and a control method thereof.The distributed micro-grid power station system comprises a plurality of methanol generator sets arranged in parallel and an intelligent energy storage system, and the methanol generator sets are used for supplying power to loads; the intelligent energy storage system and the methanol generator set are connected in parallel through a bus, and the micro-grid control system controls the intelligent energy storage system to store redundant electric energy when the power demand is in the valley; and controlling the intelligent energy storage system to release electric energy so as to balance load fluctuation in a power demand peak. Complementation is formed through the methanol generator set and the energy storage system, the methanol generator set provides steady-state power, the energy storage system bears transient power to compensate the sudden power increasing gap of the methanol generator set, and the problems that the power of the methanol generator set cannot keep up due to the fact that the instantaneous power demand of loads such as a drilling platform is too large, and the energy consumption is low are solved. And the impact load is difficult to deal with independently.

The invention discloses a mountain wind power plant construction method based on a high-power wind generating set, and aims to solve the problems of large wind speed fluctuation and unstable power output in a mountain wind power plant. According to the method, the high-power wind generating set and the small wind power plant are reasonably arranged, risks caused by wind speed fluctuation are dispersed, meanwhile, a solar photovoltaic power generation system is combined, complementary power generation of wind energy and solar energy is achieved, and the overall power generation stability is improved. Through an intelligent scheduling system, in combination with real-time meteorological data and power grid load requirements, power generation output of wind power, solar energy and energy storage systems is optimized, and load balance and power supply stability of a power grid are improved. In addition, by configuring an energy storage system and providing standby power, it is ensured that the power requirement can still be met under the condition that the wind speed is low or illumination is insufficient. In the aspect of operation and maintenance, remote monitoring and unmanned aerial vehicle inspection technologies are combined, the operation and maintenance efficiency of the wind power plant is improved, and fault risks are reduced.

A method and system for managing demand and electricity supply are disclosed. A distributed energy resource optimizer (DERO) of the system may determine demand for electricity associated with a plurality of premises connected to an electrical grid where the plurality of premises includes one or more distributed generation systems, determine available electricity supply for the plurality of premises, and compare the demand with the available electricity supply. In response to determining that the demand is higher than the available electricity supply, the DERO may cause one or more storage devices associated with the one or more distributed generation systems to supply electricity to the plurality of premises. In response to determining that the demand is lower than the available electricity supply, the DERO may cause the one or more storage devices to store excess electricity supply.

The invention relates to the technical field of boiler transformation, in particular to a half-capacity storage type / direct blowing type coal pulverizing system, a coal pulverizing method and a boiler, pulverized coal treatment paths on the two sides of a coal mill are improved, pulverized coal treated by the coal mill is divided into a direct blowing mode and a storage mode, and when a thermal power generating unit operates at a high load, the pulverized coal is stored in the direct blowing mode. The fuel is directly delivered to a hearth to participate in combustion in a direct blowing mode, and stable load supply is ensured; pulverized coal separated by a coal mill is collected and stored in a storage mode, and when the power demand fluctuates, a proper amount of pulverized coal is extracted and mixed with primary air to participate in combustion according to the load requirement. By means of the coal pulverizing mode, the frequency of frequent starting and stopping of the coal mill can be reduced when the thermal power generating unit operates in a low-load mode, the response speed and flexibility of the thermal power generating unit to load changes are improved, and the economical efficiency and stability of the system are enhanced. The problems that the stability of a thermal power generating unit system is affected and energy consumption is large due to frequent starting and stopping of an existing coal mill are solved.

The invention discloses an electric power spot transaction market quantity reporting method, and relates to the technical field of electric power transaction, and the system comprises an energy storage intelligent management and collection module, an electric power supply and demand prediction module, a transaction rule building module, a transaction optimization and regulation module, and a market supervision and model optimization module. A refined power supply and demand prediction model is created by collecting various data sources including meteorological data, macroeconomic data and industrial project planning information and combining historical power supply and demand data, power demands in different seasons and different time periods can be accurately predicted, the prediction result can be dynamically corrected according to real-time data, and the prediction efficiency is improved. And meanwhile, a dynamic energy storage excitation mechanism is also constructed, and a cross-seasonal energy storage strategy is formulated in combination with cost, price fluctuation and technical characteristics, so that reasonable configuration and efficient utilization of energy storage resources are effectively realized, and the stability and economical efficiency of the power system are further improved.

A facility for predicting on site electric power requirements for maintaining a fully electric fleet of vehicles in a mining operation to ensure sustainable electric operations, comprising a server comprising communications module configured to receive data and to transmit load management instructions; plurality of electrical charging stations; plurality of electric vehicles configured to be recharged by a selected electrical charging station; wherein the server comprises processor coupled with non-volatile memory, the non-volatile memory storing processing instructions that, when executed by the processor, causes the processor to simulate a total electrical power demand of the mine site due to the plurality of cabled mine equipment and the plurality of electric vehicles for each electric vehicle and each charging station within the facility over a prescribed period thereby to simulate and determine an energy storage capacity requirement of the charging stations of the facility through the prescribed period; thereby to forecast the electrical load management needs of the facility through the prescribed period.

A system and method for controlling a microgrid network comprises a plurality of distributed energy resources that supply electrical power to a plurality of loads. A controller coupled to the microgrid network and to the distributed energy resources and the loads includes a processor and a memory configured to execute a dispatch controller function block. The function block is configured to cause the processor to receive a total power demand of all the loads coupled to the microgrid network and at least one operational constraint corresponding to the plurality of distributed energy resources and cause the processor to determine using the operational constraint if there is sufficient electrical power available from the plurality of distributed energy resources to power the loads. The function block is further configured to determine which of the plurality of available distributed energy resources are required to be adjusted to supply electrical power to the plurality of the loads, causing the controller to adjust the electrical power output by each of the distributed energy resources.

The invention discloses a virtual power plant scheduling optimization method and system based on schedulable space prediction. The method comprises the following steps: constructing a target virtual power plant schedulable space prediction model based on Gaussian process regression; respectively constructing a virtual power plant bidding model and a coal-fired power plant bidding model based on net income maximization; constructing a day-ahead electricity market clearing model based on market energy consumption cost minimization; constructing a double-layer game bidding model based on the virtual power plant bidding model, the coal-fired power plant bidding model and the day-ahead electricity market clearing model; iteratively solving the double-layer game bidding model at least based on the schedulable space of the virtual power plant until a convergence condition is met, and outputting an equilibrium solution; and adjusting the wind and light output strategies of the virtual power plant in different power demand periods based on the equilibrium solution. Theoretical support is provided for making a bidding strategy for the virtual power plant to participate in the day-ahead electricity market transaction, supply and demand balance of an electric power system can be maintained, and the stability of the system is improved.

The invention relates to a daily electric quantity prediction method considering business expansion influence. The electric quantity prediction method comprises the following steps: obtaining electric quantity record data, corresponding meteorological data and records of business expansion installation events of a to-be-predicted area before a to-be-predicted time point; model training; the method specifically comprises the following steps: constructing a prediction model training framework based on meta-learning; establishing a combined electricity consumption neural network prediction model based on a convolutional neural network and an efficient channel attention mechanism; comparing the prediction performance of the model under various different configurations, and finally confirming a configuration scheme with the optimal prediction performance; and predicting by using the model. According to the method, the ECA mechanism and the deep learning model are combined, so that the recognition capability of the characteristics sensitive to the power demand fluctuation is remarkably improved, and the prediction precision is improved.

The invention discloses a method and equipment for measuring and calculating the charging capacity of a battery swap station and a medium, and aims to solve the technical problems that the passenger flow volume and charging requirements in different time periods cannot be accurately predicted and the power requirements of battery swap and charging services cannot be balanced according to different operation habits and energy complementation habits of drivers in the prior art. The method comprises the steps of predicting a battery replacement demand of a battery replacement station in a preset time period; obtaining available electric power of the battery swap station and charging bin power of the battery swap station, and calculating residual charging capacity of the battery swap station in combination with the battery swap demand; and determining the number of openable charging piles of the battery swap station according to the residual charging capacity. According to the invention, the number of the openable charging piles can be flexibly adjusted according to the real-time data and the prediction result, so as to cope with the fluctuation and change of the battery replacement demand, and ensure the stable operation and efficient service of the battery replacement station.

The invention belongs to the field of thermoelectric unit thermoelectric decoupling, and discloses a fused salt energy storage system for thermoelectric decoupling of a power plant and a working method thereof, and the fused salt energy storage system comprises a fused salt electric heating subsystem, a fused salt heat storage subsystem and a fused salt-steam-water heat exchange subsystem which are connected in sequence. The fused salt electric heating subsystem is used for heating low-temperature fused salt by utilizing high-plant electric energy; the fused salt heat storage subsystem realizes high-temperature and low-temperature fused salt circulating transmission and high-temperature fused salt storage; and the fused salt-steam-water heat exchange subsystem exchanges heat with water through high-temperature fused salt to generate steam which is supplied to the corresponding mother pipe. Thermoelectric decoupling is achieved through fused salt energy storage, fused salt energy storage is not limited by geography, arrangement can be flexible, and power transmission loss is low. Energy is released during the peak of power demand and stored during the valley of power demand, so that the loss of a system power transmission network is effectively reduced, peak clipping and valley filling are realized, the peak regulation and difference adjustment capabilities of a power plant unit are enhanced, the flexible demand of peak-valley difference of a power grid can be better adapted, stable power supply of a region is ensured, and efficient utilization of energy is improved.

An aircraft hybrid motive power source system includes: a gas turbine engine mounted on an aircraft and including a low-pressure shaft and a high-pressure shaft as rotary shafts; a first motor generator drivingly connected to the high-pressure shaft; a second motor generator drivingly connected to the low-pressure shaft; a fuel cell to which a fuel gas and an oxidant gas are supplied; a fuel gas generator configured to generate the fuel gas from a raw material by heating using an exhaust gas from the gas turbine engine; and a controller configured to supply an electric power of the fuel cell obtained by a supply of the fuel gas to one of the first motor generator and the second motor generator, based on at least one of information indicating an operating status of the gas turbine engine and an electric power demand of the aircraft.

The disclosure discloses a battery mounting structure, an outdoor mobile power supply and an electronic assembly, and belongs to the technical field of electronic assemblies. The battery mounting structure comprises a telescopic member, a first battery assembly and at least one second battery assembly. The first battery assembly is sleeved on the telescopic member; one second battery assembly is sleeved on the telescopic member and electrically connected with the first battery assembly, and the remaining second battery assemblies are sleeved on the telescopic member in an axial direction of the telescopic member in sequence and electrically connected in sequence. According to the battery mounting structure provided by the disclosure, a user can increase or reduce a number of the second battery assemblies at will according to an actual electricity demand, so as to increase or reduce a battery capacity at will, thus improving use convenience and portability.

A method for managing electrical loads includes monitoring current of the branch circuits to determine an electricity demand of the branch circuits. The method includes comparing an available supply with the electricity demand. Each of the branch circuits are connected to the available supply by a circuit breaker that requires manual reset (e.g., if tripped) connected in series with a controllable relay. The method includes controlling the controllable relays to connect and disconnect the branch circuits from the available supply.

The invention relates to a fused salt heat storage technology in a spinning process, in particular to a fused salt heat storage system based on electricity price adjustment and a control method.The fused salt heat storage system comprises a fused salt pipeline, a steam pipeline and a nylon pipeline, and the fused salt pipeline is provided with a fused salt storage tank, an electric heater, a first circulating pump, a heat exchanger and a second circulating pump; a third circulating pump is arranged on the steam pipeline; a screw extruder, a spinning machine and a steam sleeve are arranged on the nylon pipeline; the electric power demand in the peak period is remarkably reduced, the pressure of an electric power system in the peak period is relieved, the social benefit is remarkable, fused salt heat storage and heating are combined together, and the working efficiency is improved.

The invention relates to the technical field of electric power spot transaction, in particular to an electric power spot market day-ahead declaration optimization strategy generation method, device and equipment, and the method comprises the steps: carrying out the preprocessing of the obtained operation boundary data and historical transaction data of an electric power spot market of a target region, and obtaining the processed data; based on the processed data and historical electricity price prediction data, optimizing a pre-trained initial electricity price prediction model to obtain an electricity price prediction model; generating at least one power day-ahead declaration optimization strategy according to the obtained power demand information of the user and day-ahead electricity price prediction data obtained based on a power price prediction model; and selecting a target power day-ahead declaration optimization strategy from the at least one power day-ahead declaration optimization strategy based on an analysis result obtained by analyzing each power day-ahead declaration optimization strategy in the at least one power day-ahead declaration optimization strategy. The optimal declaration scheme is provided for the user on the premise that market rules and constraint conditions are met.

The invention relates to the technical field of electric power, in particular to an electricity price fluctuation quantification method, device, equipment and medium based on regression analysis, and the method comprises the steps: taking electric power price fluctuation in peak load of electric power as a dependent variable, and taking new energy power generation, thermal power generation, electric power demand, generating capacity and capacity electricity price as independent variables; establishing a multiple linear regression model; verifying whether the independent variable and the dependent variable have a linear relationship or not, preliminarily carrying out multiple linear regression analysis, finding an optimal regression coefficient by minimizing a residual sum of squares, and carrying out multiple linear problem judgment; a ridge regression analysis method is adopted, a regularization item is added into a loss function to limit the size of a regression coefficient, overfitting of the model is reduced, and a ridge function is confirmed through cross validation; performing overall significance test and regression coefficient significance test on the multiple linear regression model, and analyzing the fitting degree; and performing quantitative analysis on electricity price fluctuation by using the fitted multiple linear regression model.

The invention discloses a carbon emission prediction and novel power system planning method and system in the urban power field. The method comprises the following steps: calculating the energy demand quantity of each department according to the urban total production value GDP, population, industrial structure and energy consumption characteristic data; calculating the total carbon emission amount of the electric power department based on the energy demand in combination with the carbon emission factor; on the basis of the total carbon emission amount of an electric power department, urban energy endowment, emission reduction tasks, emission reduction policies and power generation technology improvement are considered, and on the basis of economy, population and electricity consumption parameters of an electric power demand end, various development situations of low carbon, zero carbon and negative carbon of an electric power system are designed; predicting carbon emission and carbon emission reduction corresponding to the demand end in each scene, and obtaining an emission reduction path from the demand end; and establishing a power system multi-scene optimization planning model by taking the lowest net present value of the total cost of the system as an objective function and taking urban power related constraints as constraint conditions, and calculating a power generation installed capacity development path meeting the system cost and the related constraints.

The invention discloses a DC micro-grid system coordination control method and system and a DC charging pile, and relates to the technical field of micro-grids, and the method comprises the steps: obtaining an environment parameter, a photovoltaic power generation parameter and an energy storage charge state of an operation region in real time, and carrying out the supply and demand matching of photovoltaic power generation power Pfor and an accumulated power demand Deu, and the cooperative work between the photovoltaic power generation system and the energy storage system is realized by optimizing the scheduling vector EA. The system can cope with the fluctuation of the photovoltaic power generation power and the real-time electricity price Pgrid of the power grid, and the system continuously improves the utilization efficiency of the system on renewable energy sources through monitoring the utilization rate Nr of the renewable energy sources, the charge state Soc of the energy storage system, the charging speed Vc of the electric vehicle and the electricity purchasing quantity Eg of the power grid and through iterative optimization. The cooperative efficiency of the photovoltaic power generation system and the energy storage system is effectively improved, the energy consumption and the operation cost are reduced, and the problems of insufficient utilization of renewable energy sources and lagging of power scheduling response are also remarkably solved.

The invention discloses a hydrothermal power generation system scheduling optimization method based on transfer learning and a GAN, and the method comprises the steps: combining a randomly generated scheduling scheme population with an optimization scheduling scheme population of a previous power demand when a current power demand is a second power demand; obtaining an optimal scheduling scheme population of the current power demand on the basis of a non-dominated sorting genetic algorithm to perform hydrothermal power generation system scheduling, and when the current power demand is a third or more power demand, extracting experience of a historical optimal scheduling scheme population on the basis of a transfer learning thought; generating a new scheduling scheme population with historical experience in combination with a GAN (Generative Adversarial Network) and standard normal distribution, and obtaining an optimized scheduling scheme population of the current power demand through fusion and a non-dominated sorting genetic algorithm to schedule the hydrothermal power generation system; the invention has the advantage of high stability in balancing the total fuel cost of the minimum thermal power generator set and the emission load of the minimum thermal power generator set for the overall power demand.

The invention belongs to the technical field of light storage batteries, and particularly relates to an automatic plugging device for a light storage battery vehicle and an electricity utilization bin, which comprises a butt joint frame, an electricity utilization interface is arranged at the top of the front surface of the butt joint frame, a half connector is fixedly mounted on the inner side wall of the electricity utilization interface, and a plugging shell is fixedly mounted on the outer side of the electricity utilization interface. The outer cambered surface of the power utilization interface is sleeved with a conical shell, the middle section of the outer cambered surface of the conical shell is provided with an arc-shaped abutting surface, one end of the arc-shaped abutting surface close to the power utilization interface is provided with a bent section part, and the upper surface of the bent section part is placed in the inner side wall of the power utilization interface. Compared with a traditional manual plugging mode, the connection time is shortened, the operation efficiency is improved, and the automatic locking and sealing device is suitable for emergency power supply and other scenes with high response speed requirements and can quickly meet the power requirements of the power utilization bin.

The invention discloses a post-disaster recovery method for an elastic power distribution network under a waterlogging disaster and a related device. The method comprises the following steps: acquiring the damage degree of a power grid at each disaster point under the waterlogging disaster and the dependence degree of each disaster point on power; determining the power demand and the power supply priority of each disaster point according to the damage degree and the dependence degree; determining a traffic network graph model, wherein the traffic network graph model comprises a plurality of healthy roads and a plurality of traffic nodes; obtaining the accumulated water depth and the traffic flow of each healthy road in the traffic network graph model; constructing an electric power recovery model according to the accumulated water depth and the traffic flow of each healthy road and the electric power demand and the power supply priority of each disaster point; and according to the objective function and the constraint condition of the power recovery model, scheduling the electric vehicle to recover the power system. A large number of electric vehicles in the power distribution network can be fully utilized for post-disaster recovery, and the power supply recovery efficiency is improved.

The invention provides a micro-grid system supply and demand balance and green energy scheduling optimization method and system, which can accurately match the user side power demand and green energy production, and can call an energy storage system to release stored electric energy or buy electricity through a main power grid to complement power vacancy when there is a supply and demand electric quantity difference in a power generation trough and a power consumption peak period; in the peak period of solar power generation, photovoltaic electric energy is preferentially used for meeting the load requirement, when the total power generation amount is larger than the total power consumption amount, redundant power can be used for charging an energy storage device, efficient consumption of renewable energy sources is achieved, meanwhile, the stable and continuous characteristics of wind power generation are utilized, basic power is provided for loads in the whole time period day and night, and energy is saved. And in the solar valley stage and the load valley stage, the energy storage system is matched to carry out charging and discharging scheduling and stabilize power fluctuation, challenges caused by load peak-valley difference and renewable energy intermittency can be effectively handled through multi-energy cooperative control logic, and the reliability, economical efficiency and clean energy permeability of micro-grid operation are improved.